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TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization

Tracer metabolomics is a powerful technology for the biomedical community to study and understand disease-inflicted metabolic mechanisms. However, the interpretation of tracer metabolomics results is highly technical, as the metabolites’ abundances, tracer incorporation and positions on the metaboli...

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Detalles Bibliográficos
Autores principales: De Craemer, Sam, Driesen, Karen, Ghesquière, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321460/
https://www.ncbi.nlm.nih.gov/pubmed/35888717
http://dx.doi.org/10.3390/metabo12070593
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author De Craemer, Sam
Driesen, Karen
Ghesquière, Bart
author_facet De Craemer, Sam
Driesen, Karen
Ghesquière, Bart
author_sort De Craemer, Sam
collection PubMed
description Tracer metabolomics is a powerful technology for the biomedical community to study and understand disease-inflicted metabolic mechanisms. However, the interpretation of tracer metabolomics results is highly technical, as the metabolites’ abundances, tracer incorporation and positions on the metabolic map all must be jointly interpreted. The field is currently lacking a structured approach to help less experienced researchers start the interpretation of tracer metabolomics datasets. We propose an approach using an intuitive visualization concept aided by a novel open-source tool, and provide guidelines on how researchers can apply the approach and the visualization tool to their own datasets. Using a showcase experiment, we demonstrate that the visualization approach leads to an intuitive interpretation that can ease researchers into understanding their tracer metabolomics data.
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spelling pubmed-93214602022-07-27 TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization De Craemer, Sam Driesen, Karen Ghesquière, Bart Metabolites Article Tracer metabolomics is a powerful technology for the biomedical community to study and understand disease-inflicted metabolic mechanisms. However, the interpretation of tracer metabolomics results is highly technical, as the metabolites’ abundances, tracer incorporation and positions on the metabolic map all must be jointly interpreted. The field is currently lacking a structured approach to help less experienced researchers start the interpretation of tracer metabolomics datasets. We propose an approach using an intuitive visualization concept aided by a novel open-source tool, and provide guidelines on how researchers can apply the approach and the visualization tool to their own datasets. Using a showcase experiment, we demonstrate that the visualization approach leads to an intuitive interpretation that can ease researchers into understanding their tracer metabolomics data. MDPI 2022-06-25 /pmc/articles/PMC9321460/ /pubmed/35888717 http://dx.doi.org/10.3390/metabo12070593 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
De Craemer, Sam
Driesen, Karen
Ghesquière, Bart
TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title_full TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title_fullStr TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title_full_unstemmed TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title_short TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization
title_sort travis pies: a guide for stable isotope metabolomics interpretation using an intuitive visualization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321460/
https://www.ncbi.nlm.nih.gov/pubmed/35888717
http://dx.doi.org/10.3390/metabo12070593
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